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激光诱导击穿光谱检测铁矿石应用进展
引用本文:杨雅雯,严承琳,徐鼎,闵红,杨敏丽,刘曙. 激光诱导击穿光谱检测铁矿石应用进展[J]. 冶金分析, 2021, 40(12): 14-20. DOI: 10.13228/j.boyuan.issn1000-7571.011103
作者姓名:杨雅雯  严承琳  徐鼎  闵红  杨敏丽  刘曙
作者单位:1.上海海关工业品与原材料检测技术中心,上海 200135;2.上海师范大学化学与材料学院,上海 200214
基金项目:海关总署科研项目(2019HK074);国家重点研发计划(2018YFF0215400)
摘    要:激光诱导击穿光谱(LIBS)是一种原子发射光谱,具有实时、原位、微损、远距离、多元素同时分析等优势,在铁矿石检测领域受到关注。由于激光能量波动、基体效应、样品表面形貌等因素,LIBS在铁矿石定性、定量分析方面存在很多问题。化学计量学作为一种数据处理方法,能过滤噪声和提取有效信息,连接光谱与分析结果,对LIBS分析检测起到关键桥梁作用。近10年LIBS在铁矿石检测中的应用逐渐得到重视,LIBS可应用于鉴别铁矿石酸碱性,也可用于分析铁矿石原产地。针对铁矿石中全铁、钙、镁、硅、铝、钾、磷含量以及烧失量的定量分析,LIBS结合多变量回归已开展探索性工作,但工业应用仍不成熟。因此,如何推动LIBS在铁矿石检测领域的应用落地,仍然是一项重大挑战。

关 键 词:激光诱导击穿光谱(LIBS)  化学计量学  铁矿石  分类  定量分析  
收稿时间:2020-04-12

Progress in the detection of iron ore by laser-induced breakdown spectroscopy
YANG Ya-wen,YAN Cheng-lin,XU Ding,MIN Hong,YANG Min-li,LIU Shu. Progress in the detection of iron ore by laser-induced breakdown spectroscopy[J]. Metallurgical Analysis, 2021, 40(12): 14-20. DOI: 10.13228/j.boyuan.issn1000-7571.011103
Authors:YANG Ya-wen  YAN Cheng-lin  XU Ding  MIN Hong  YANG Min-li  LIU Shu
Affiliation:1. Technical Center for Industrial Product and Raw Material Inspection and Testing, Shanghai Customs, Shanghai200135, China;2. College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200214, China
Abstract:Laser-induced breakdown spectroscopy is a kind of atomic emission spectroscopy, which exhibits a couple of attractive features, such as real time ananlysis, in situ, mirco btrakdown, remote detection and simultaneous mutil-elements analysis. Thus it has attracted more and more attention in the field of iron ore detection. Due to laser energy flucations, matrix effects, and the mapping of the sample surface, it still has many issues in both qualitative and quantitative analysis of iron ore for LIBS. As a data processing method, chemometrics could filter noise, extract effective spectral information, and connect spectra and analysis results. As a result, it is a bridge to connect LIBS analysis and testing. In the past 10 years, the application of LIBS in iron ore detection has gradually gained attention. LIBS could be used to identify the acidity and alkalinity of iron ore, and could also be used to analyze the origin of iron ore. For the quantitative analysis of total iron, calcium, magnesium, silicon, aluminum, potassium, phosphorus and loss on ignition in iron ore, LIBS combined with multivariate regression has carried out a lot of exploratory work, but it is still immature in industrial application. Therefore, how to promote the application of LIBS in the field of iron ore detection is still a major challenge.
Keywords:laser-induced breakdown spectroscopy (LIBS)  chemometrics  iron ore  classification  quantitative analysis  
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